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$70 per hour
...ArgoCD. Proven ability to troubleshoot complex distributed systems, largely self-directed. Preferred Qualifications GPU infrastructure and AI/ML workloads: Ray, Kubeflow, ML flow, or similar. NVIDIA GPU orchestration: A100/H100 configuration, driver...SuggestedHourly payRemote work- ...Qualifications: Understanding of AI model deployment, inference infrastructure, and scalability considerations Familiarity with GPU-enabled infrastructure and AI compute environments Knowledge of vector databases, LLM deployment, or MLOps concepts...Suggested3 days per week
- ...Senior NVIDIA AI Factory / GPU Infrastructure Engineer NVIDIA H200 Position Overview: We are looking for a Senior NVIDIA AI Factory / GPU Infrastructure Engineer to design, deploy, configure, and productionize a large-scale NVIDIA H200 GPU environment for an enterprise...SuggestedRemote work
- ...application and AI inference workloads. Enable containerized AI services and microservices using approved base images. Support GPU-enabled workloads where approved. Implement standardized deployment patterns for AI APIs and services. Google AI / GenAI...Suggested
- ...build, and maintain scalable AI/ML infrastructure and delivery platforms. The ideal candidate will have hands-on experience supporting GPU workloads, LLM integrations, Kubernetes, Docker, Helm, AWS, Terraform/Ansible, CI/CD, and DevOps tooling. Key Responsibilities...SuggestedContract workRemote work
- ...implement production monitoring systems, drift detection, experiment tracking, and model versioning, while managing cloud environments and GPU compute resources for cost-effective scalability. The role is based onsite in Dallas, TX, and requires close collaboration with data...SuggestedLocal areaRemote workVisa sponsorshipWork visaFlexible hours
$155.52k - $194.4k
...scalable systems, including distributed computing and streaming frameworks (e.g., Spark/EMR, Flink, Kafka Streams); familiarity with GPU-based implementation is a plus. Demonstrated ability to ramp up quickly and operate effectively in new application/business domains...SuggestedLocal areaRemote workWorldwide- ...Experience with distributed storage systems and understanding of one or more of object, block, and file storage paradigms. Hardware and GPU troubleshooting experience (nice to have) Exposure to OVN/OVS-based networking stack (nice to have) Strong communication...SuggestedNight shiftDay shift
- ...scanning, policy enforcement, and DevSecOps practices. Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments. Familiarity with services such as Amazon SageMaker, Vertex AI, container-based...Suggested
- ...Strong experience with training frameworks like PyTorch, leveraging GPUs efficiently for distributed model training. Experience with GPU-accelerated inference using TensorRT or similar frameworks. Experience using profiling tools like NVIDIA's Nsight or PyTorch's...Suggested
- PADO AI Orchestration, Inc., a groundbreaking new venture born out of LG Electronics and backed by LG NOVA, is revolutionizing GPU utilization and energy management for AI data centers. We are on a mission to maximize "Compute Per Megawatt" by bridging the gap between infrastructure...SuggestedFull timeShift work
$200k - $240k
...About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development...SuggestedFull timeFor contractorsLocal areaFlexible hours$180k - $210k
...About Nscale Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development...SuggestedFull timeTemporary workFor contractorsLocal areaFlexible hours- ...PADO AI Orchestration, Inc., a groundbreaking new venture born out of LG Electronics and backed by LG NOVA, is revolutionizing GPU utilization and energy management for AI data centers. We are on a mission to maximize "Compute Per Megawatt" by bridging the gap between...SuggestedFull timeFor contractorsWork at officeShift work

